Minor Hotels Europe and Americas

Manager

• Lead a team of data scientists, data engineers, and BI engineers
• Serve as the single point of contact for D&A across business units
• Act as a D&A evangelist, building senior stakeholder understanding
• Hold E2E ownership of D&A products
• Bridge business objectives with the latest D&A and AI capabilities
• Drive adoption and usage of D&A tools across the DRBU

Solution Manager – Data & Analytics

IT Support

• Own end-to-end technical design and execution for complex React-based applications
• Define coding standards, architectural patterns, component guidelines, and best practices
• Guide the team in building reusable UI component libraries and scalable front-end frameworks
• Drive performance optimization, accessibility compliance, and cross-browser stability
• Architect React applications with modular design, efficient state management, and scalable folder/module structure
• Design integration patterns for RESTful APIs and GraphQL
• Provide architectural guidance on integrating React applications with AEM (headless or embedded)
• Mentor junior/senior developers and conduct technical reviews
• Collaborate closely with Product, UX, QA, Backend/AEM teams, and DevOps
• Participate in technical hiring and help build a strong engineering culture.

Enterprise Architect

Data Scientist

• Develop generative and predictive AI models (including NLP, computer vision, etc.)
• Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data tools (e.g., Databricks, PySpark) to develop AI solutions
• Familiarity with intelligent autonomous agents for complex tasks and multimodal interactions
• Familiarity with agentic workflows that utilize AI agents to automate tasks and improve operational efficiency
• Deploy AI models into production environments, ensuring scalability, performance, and optimization
• Monitor and troubleshoot deployed models and pipelines for optimal performance
• Design and maintain data pipelines for efficient data collection, processing, and storage (e.g., data lakes, data warehouses)
• Collaborate with cross-functional teams to align AI projects with business requirements and strategic goals
• Willingness to contribute to and participate in developing and harvesting reusable assets and demos, sales pitches.
• Communicate complex AI concepts and results to non-technical stakeholders.

DevOps Engineer

• Design, build, and maintain Azure landing zones and platform services (e.g., VNet, Private Endpoints, Key Vault, Azure Firewall/NSGs, Application Gateway/WAF)
• Implement Infrastructure as Code (IaC) with Terraform and/or Bicep; enforce GitOps workflows (branching, PRs, policy checks)
• Create reusable modules, pipelines, and golden patterns for app teams; champion automation-first approaches
• Define and measure SLIs/SLOs, error budgets, and reliability roadmaps for critical services
• Implement and tune observability (logs, metrics, traces) using Azure Monitor, Log Analytics, Application Insights, and Prometheus/Grafana where applicable
• Conduct capacity planning, resiliency testing (chaos, failover, DR), and performance tuning across services
• Build secure, robust CI/CD pipelines (GitHub Actions / Azure DevOps Pipelines) with automated testing, scans, and approvals
• Standardize deployment strategies (blue/green, canary, rolling) for containerized and PaaS workloads
• Manage container platforms (AKS: node pools, cluster autoscaling, HPA/VPA, ingress, network policies) and registries (ACR)
• Implement guardrails using Azure Policy, RBAC, PIM, and Blueprints (or equivalent) to enforce least privilege and compliance (e.g., SOC 2, ISO 27001, HIPAA as relevant)
• Manage secrets and certificates (Key Vault) and integrate security testing (SAST/DAST/Container scanning) into pipelines
• Support vulnerability remediation and patching SLAs
• Own incident response, including rotational shifts and on-call; lead triage, root cause analysis (RCA), and post-incident reviews
• Optimize cost (FinOps), tagging standards, budgets, and proactive spending alerts
• Maintain runbooks, knowledge base articles, and automation for routine operations
• Act as a technical mentor; review designs/PRs; contribute to architecture decisions
• Partner with app teams to onboard workloads, define nonfunctional requirements, and drive platform adoption

Senior Azure Engineer – SRE/DevOps

• Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
• Location: The job is located in Salt lake City, Utah, Dallas, TX, Durham, NC

Data Engineer

• Join Capgemini and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
• Provide robust migration solutions leveraging Guidewire Claim Center across cloud platforms.
• Collaborate with integrated teams for data validation and migration tasks.
• Engage in process improvement initiatives and structured code reviews.

Data Migration Engineer

Software Engineer

• Own end-to-end technical design and execution for complex React-based applications
• Define coding standards, architectural patterns, component guidelines, and best practices
• Guide the team in building reusable UI component libraries and scalable front-end frameworks
• Drive performance optimization, accessibility compliance, and cross-browser stability
• Architect React applications with modular design, efficient state management, and scalable folder/module structure
• Design integration patterns for RESTful APIs and GraphQL
• Mentor junior/senior developers and conduct technical reviews
• Collaborate closely with Product, UX, QA, Backend/AEM teams, and DevOps
• Participate in technical hiring and help build a strong engineering culture

Lead Application Developer

Client Partner

• Act as the primary point of contact for the partners' sales teams across the industry portfolio, enabling seamless collaboration with Capgemini's internal business units.
• Build and maintain strong, scalable relationships with the partners' regional and industry-aligned sales teams.
• Articulate the value of the partners' product portfolio in the context of Capgemini's services and industry solutions.
• Drive joint go-to-market initiatives, including demand generation, account planning, and co-branded campaigns.
• Manage partner teaming and investment activities to shape deals, define commitments, and improve win rates.
• Represent Capgemini in partner and client interactions within the assigned coverage.

Alliance Partner Development Executive

QA Automation Engineer

• Develop and maintain automated test frameworks using Selenium and Java
• Execute hands‑on automation scripting and test execution
• Support API automation using RestAssured or similar tools
• Collaborate with DevOps on CI/CD integration and reporting
• Review automation code and mentor offshore team members
• Establish automation standards and best practices
• Partner with development and QA teams to improve software quality

Senior Automation Engineer – Hands-On, Automation Lead

SDET

• Design, develop, and execute performance test scripts and scenarios using LoadRunner (Controller, Performance Center, LRE) across load, stress, spike, endurance, and scalability tests
• Lead performance requirement gathering, workload modeling, and SLA definition in alignment with program objectives and cross‑functional teams
• Monitor application and infrastructure behavior during tests using LoadRunner Analysis, APM tools (Dynatrace/AppDynamics/New Relic), server metrics, and DB monitoring
• Analyze performance results to identify bottlenecks, including response‑time degradation, memory/CPU constraints, connection/thread issues, and slow SQL queries
• Collaborate with multiple workstreams—including onshore and offshore teams—to coordinate test preparation, execution, defect resolution, and tuning activities
• Define and deliver comprehensive performance test strategy, plans, scenarios, risk assessments, and documentation, ensuring transparency and technical clarity for stakeholders
• Present performance findings, dashboards, bottleneck reports, and optimization recommendations while ensuring alignment with compliance, quality, and program governance requirements.

Performance Test Engineer

AI Engineer

• Lead the design and delivery of GenAI data architectures, including agentic workflows, RAG pipelines, prompt orchestration, and tool calling frameworks.
• Own the strategy and integration of market data platforms, ensuring high quality ingestion, normalization, enrichment, and access for analytics and GenAI use cases.
• Design and oversee scalable GenAI and machine learning data pipelines, supporting structured and unstructured data across the full AI lifecycle.
• Establish and embed data quality, lineage, privacy, and compliance controls to ensure responsible AI use and regulatory alignment.
• Partner with business, product, engineering, and data science teams to identify high impact GenAI use cases and translate them into production grade solutions.
• Define best practices for model lifecycle management, evaluation metrics, MCP integration, and continuous improvement of GenAI systems.
• Act as a trusted senior advisor to Markets and Investment Banking stakeholders.
• Build, lead, and mentor high performing teams of data engineers and GenAI practitioners.

GEN AI Lead

QA Engineer

• Ejecutar pruebas basadas en requisitos funcionales.
• Validar casos de uso out of the box.
• Analizar resultados, identificar defectos y documentarlos con precisión.
• Colaborar estrechamente con los Local Champions y el equipo de testing para resolver incidencias.
• Asegurar que los procesos de prueba se ejecutan dentro de los plazos y estándares de calidad establecidos.
• Revisar defectos, apoyar en la priorización y aportar claridad técnica y funcional al equipo.

Business Tester

Full-stack Engineer

• Design, deploy and manage scalable and secure GCP environments
• Automate infrastructure provisioning and management (IaC, scripting)
• Monitor provisioning, cost optimization, and security
• Troubleshoot complex issues and provide technical guidance

Cloud Tech Lead

Product Manager

• Define and communicate the product vision, strategy, and roadmap.
• Own, manage, and prioritize the product backlog to maximize business and customer value.
• Work closely with stakeholders to understand business needs and translate them into well defined user stories and requirements.
• Provide clear direction and ongoing clarifications to agile development teams throughout the sprint cycle.
• Review, validate, and accept completed features based on established acceptance criteria.
• Ensure timely delivery of high quality solutions that align with customer expectations and organizational priorities.
• Collaborate with cross-functional teams—including engineering, design, QA, and business partners—to ensure smooth execution and alignment.
• Monitor product performance, gather feedback, and continuously improve product features and processes.

Senior Product Owner

• Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.
• Applies scientific methods to analyse and solve software engineering problems.
• He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.
• His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.
• The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.
• The software engineer collaborates and acts as team player with other software engineers and stakeholders.